1
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Simulation of networks of spiking neurons: a review of tools and strategies.
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J Comput Neurosci
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2007
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4.29
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2
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Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex.
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J Neurosci
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2007
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1.99
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3
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Modeling extracellular field potentials and the frequency-filtering properties of extracellular space.
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Biophys J
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2004
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1.80
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4
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A method to estimate synaptic conductances from membrane potential fluctuations.
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J Neurophysiol
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2004
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1.79
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5
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Macroscopic models of local field potentials and the apparent 1/f noise in brain activity.
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Biophys J
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2009
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1.54
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6
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Can power-law scaling and neuronal avalanches arise from stochastic dynamics?
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PLoS One
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2010
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1.53
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7
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Synaptic background activity controls spike transfer from thalamus to cortex.
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Nat Neurosci
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2005
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1.52
|
8
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Do neurons generate monopolar current sources?
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J Neurophysiol
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2012
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1.44
|
9
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Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons.
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Biol Cybern
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2008
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1.39
|
10
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Inhibition recruitment in prefrontal cortex during sleep spindles and gating of hippocampal inputs.
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Proc Natl Acad Sci U S A
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2011
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1.28
|
11
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Characterization of synaptic conductances and integrative properties during electrically induced EEG-activated states in neocortical neurons in vivo.
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J Neurophysiol
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2005
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1.23
|
12
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A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
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Biol Cybern
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2011
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1.20
|
13
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Avalanche Analysis from Multielectrode Ensemble Recordings in Cat, Monkey, and Human Cerebral Cortex during Wakefulness and Sleep.
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Front Physiol
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2012
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1.18
|
14
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Tuning neocortical pyramidal neurons between integrators and coincidence detectors.
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J Comput Neurosci
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2003
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1.16
|
15
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Network-state modulation of power-law frequency-scaling in visual cortical neurons.
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PLoS Comput Biol
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2009
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1.11
|
16
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Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep.
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Proc Natl Acad Sci U S A
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2012
|
1.10
|
17
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Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials: intracellular-LFP transfer function.
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J Comput Neurosci
|
2010
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1.08
|
18
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High-resolution intracellular recordings using a real-time computational model of the electrode.
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Neuron
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2008
|
1.05
|
19
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A fast-conducting, stochastic integrative mode for neocortical neurons in vivo.
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J Neurosci
|
2003
|
1.04
|
20
|
Hyperpolarization-activated graded persistent activity in the prefrontal cortex.
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Proc Natl Acad Sci U S A
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2008
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1.03
|
21
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Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation.
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J Neurosci Methods
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2007
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1.02
|
22
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A master equation formalism for macroscopic modeling of asynchronous irregular activity states.
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Neural Comput
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2009
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0.96
|
23
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Correlated input reveals coexisting coding schemes in a sensory cortex.
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Nat Neurosci
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2012
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0.94
|
24
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Generalized cable theory for neurons in complex and heterogeneous media.
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Phys Rev E Stat Nonlin Soft Matter Phys
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2013
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0.94
|
25
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Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies.
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Neural Comput
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2006
|
0.93
|
26
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Generalized theory for current-source-density analysis in brain tissue.
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Phys Rev E Stat Nonlin Soft Matter Phys
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2011
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0.92
|
27
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Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons.
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J Comput Neurosci
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2011
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0.92
|
28
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Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media.
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J Comput Neurosci
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2010
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0.91
|
29
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Kinetic models of spike-timing dependent plasticity and their functional consequences in detecting correlations.
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Biol Cybern
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2007
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0.91
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30
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Stable learning in stochastic network states.
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J Neurosci
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2012
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0.90
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31
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State dependence of network output: modeling and experiments.
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J Neurosci
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2008
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0.89
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32
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Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models.
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J Physiol Paris
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2012
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0.88
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33
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Activated cortical states: experiments, analyses and models.
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J Physiol Paris
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2007
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0.88
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34
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Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordings.
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J Neurosci Methods
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2011
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0.87
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35
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Analog-digital simulations of full conductance-based networks of spiking neurons with spike timing dependent plasticity.
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Network
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2006
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0.84
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36
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Tunable neuromimetic integrated system for emulating cortical neuron models.
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Front Neurosci
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2011
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0.83
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37
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Inferring network activity from synaptic noise.
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J Physiol Paris
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2005
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0.82
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38
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Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategies.
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Neural Comput
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2012
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0.82
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39
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Characterizing neuronal activity by describing the membrane potential as a stochastic process.
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J Physiol Paris
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2009
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0.81
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40
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Calculating event-triggered average synaptic conductances from the membrane potential.
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J Neurophysiol
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2006
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0.81
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41
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Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity.
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Int J Neural Syst
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2006
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0.80
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42
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A modified cable formalism for modeling neuronal membranes at high frequencies.
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Biophys J
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2007
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0.80
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43
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Modeling extracellular potentials.
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J Comput Neurosci
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2010
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0.79
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44
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Comparison of different neuron models to conductance-based post-stimulus time histograms obtained in cortical pyramidal cells using dynamic-clamp in vitro.
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Biol Cybern
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2011
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0.79
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45
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On the use of analytical expressions for the voltage distribution to analyze intracellular recordings.
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Neural Comput
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2006
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0.78
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46
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Comparative power spectral analysis of simultaneous electroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media : EEG and MEG power spectra.
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J Comput Neurosci
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2010
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0.78
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47
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Reply to Gratiy et al.
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J Neurophysiol
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2013
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0.76
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48
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Methods for computational neuroscience.
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J Neurosci Methods
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2008
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0.75
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